Jochen Triesch

发表

Report on the IEEE 8th International Conference on Development and Learning (ICDL-2009)

Zhengyou Zhang, Jochen Triesch, Zhengyou Zhang, 2009, IEEE Transactions on Autonomous Mental Development.

Towards Early Diagnosis of Epilepsy from EEG Data

Jochen Triesch, Diyuan Lu, Sebastian Bauer, 2020, MLHC.

Retinal Slip Estimation and Object Tracking with an Active Event Camera

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2020, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Towards Imitation Learning of Grasping Movements by an Autonomous Robot

Jochen Triesch, Jan Wieghardt, Christoph von der Malsburg, 1999, Gesture Workshop.

Learning multisensory neural controllers for robot arm tracking

Jochen Triesch, Marco Antonelli, Bertram E. Shi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Computational and Robotic Models of the Hierarchical Organization of Behavior

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2012 .

A computational model for the joint development of accommodation and vergence control

Jochen Triesch, Bertram E. Shi, Samuel Eckmann, 2017 .

Learning to Attend - From Bottom-Up to Top-Down

Jochen Triesch, Hector Jasso, J. Triesch, 2008, WAPCV.

Learning the Optimal Control of Coordinated Eye and Head Movements

Cornelius Weber, Jochen Triesch, Sohrab Saeb, 2011, PLoS Comput. Biol..

A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strength

Jochen Triesch, Daniel Krieg, J. Triesch, 2014, Front. Synaptic Neurosci..

Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons

Jochen Triesch, J. Triesch, 2004, NIPS.

Self-organized integration of adaptive visual cues for face tracking

Jochen Triesch, 2000, SPIE Defense + Commercial Sensing.

Optimizing Generic Neural Microcircuits through Reward Modulated STDP

Jochen Triesch, Prashant Joshi, J. Triesch, 2009, ICANN.

OpenEyeSim - A platform for biomechanical modeling of oculomotor control

Jochen Triesch, Alexander Priamikov, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Competition for a limited supply of synaptic building blocks predicts multiplicative synaptic normalization and heterosynaptic plasticity

Jochen Triesch, Anne-Sophie Hafner, J. Triesch, 2017 .

Global and local statistical regularities control visual attention to object sequences

Chen Yu, Jochen Triesch, Alexa R. Romberg, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Robust classification of hand postures against complex backgrounds

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

Stage-Wise Learning of Reaching Using Little Prior Knowledge

Thierry Chateau, Jochen Triesch, Céline Teulière, 2018, Front. Robot. AI.

Let it Learn - A Curious Vision System for Autonomous Object Learning

Jochen Triesch, Pramod Chandrashekhariah, Gabriele Spina, 2013, VISAPP.

Modeling the emergence of gaze following

Jochen Triesch, J. Triesch, 2006, Künstliche Intell..

Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System

Jochen Triesch, Bertram E. Shi, Lukas Klimmasch, 2017, bioRxiv.

A walk through the woods explains the space variant oblique effect

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2009 .

Within Reach? Learning to touch objects without prior models

Thierry Chateau, Jochen Triesch, Céline Teulière, 2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Robotic Gesture Recognition

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1997, Gesture Workshop.

Semi-autonomous Learning of Objects

Jochen Triesch, Erik Murphy-Chutorian, Hyundo Kim, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Robot End Effector Tracking Using Predictive Multisensory Integration

Jochen Triesch, Bertram E. Shi, Lakshitha P. Wijesinghe, 2018, Front. Neurorobot..

Neural Control of Actions Involving Different Coordinate Systems

Stefan Wermter, Mark Elshaw, Jochen Triesch, 2007 .

Learning to Touch Objects Through Stage-Wise Deep Reinforcement Learning

Thierry Chateau, Jochen Triesch, Céline Teulière, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

REAL-2019: Robot open-Ended Autonomous Learning competition

Francesco Mannella, Jochen Triesch, Gianluca Baldassarre, 2019, Proceedings of Machine Learning Research.

Reinforcement Learning Embedded in Brains and Robots

Stefan Wermter, Mark Elshaw, Jochen Triesch, 2008 .

Look and learn: A model of gaze-contingent learning

Jochen Triesch, Max Murakami, Jantina Bolhuis, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Where’s the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network

Jochen Triesch, Bernhard Nessler, Christoph Hartmann, 2015, PLoS Comput. Biol..

A System for Person-Independent Hand Posture Recognition against Complex Backgrounds

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

A model of the development of anisometropic amblyopia through recruitment of interocular suppression

Jochen Triesch, Bertram E. Shi, Samuel Eckmann, 2018 .

Recurrent Connectivity Aids Recognition of Partly Occluded Objects pdf

Jochen Triesch, Markus Roland Ernst, Thomas Burwick, 2019, ArXiv.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Staging Epileptogenesis with Deep Neural Networks

Jochen Triesch, Diyuan Lu, Sebastian Bauer, 2020, BCB.

Hide and Seek an active binocular object tracking system

Jochen Triesch, Pramod Chandrashekhariah, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Exploring the role of intrinsic plasticity for the learning of sensory representations

Jochen Triesch, Nicholas Butko, J. Triesch, 2006, ESANN.

Robust development of synfire chains from multiple plasticity mechanisms

Jochen Triesch, Pengsheng Zheng, J. Triesch, 2014, Front. Comput. Neurosci..

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation

Jochen Triesch, Erik Murphy-Chutorian, Kuang-chih Lee, 2005, ISVC.

Generalization and Interference in Human Motor Control

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Can reinforcement learning explain the development of causal inference in multisensory integration?

Jochen Triesch, Tobias Rodemann, Constantin A Rothkopf, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Self-calibrating smooth pursuit through active efficient coding

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2015, Robotics Auton. Syst..

Autonomous learning of cyclovergence control based on Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2018, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Visual memory for natural scenes: automatic + task dependent components

Jochen Triesch, Alan Robinson, 2004 .

Learning of binocular fixations using anomaly detection with deep reinforcement learning

Thierry Chateau, Jochen Triesch, Céline Teulière, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Learning visual object detection and localisation using icVision

Jürgen Leitner, Jürgen Schmidhuber, Mikhail Frank, 2013, BICA 2013.

Vision in natural and virtual environments

Jochen Triesch, Hiroyuki Shinoda, Dana H. Ballard, 2002, ETRA.

Analysis of a Biologically-Inspired System for Real-time Object Recognition

Jochen Triesch, Sarah Aboutalib, Erik Murphy-Chutorian, 2005 .

Recurrent Feedback Improves Recognition of Partially Occluded Objects

Jochen Triesch, Markus Roland Ernst, Thomas Burwick, 2020, ESANN.

An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions

Jochen Triesch, Bertram E. Shi, Lukas Klimmasch, 2018, SAB.

An Active Efficient Coding Model of the Development of Amblyopia

Jochen Triesch, Bertram E. Shi, Lukas Klimmasch, 2018 .

Imitation learning based on an intrinsic motivation mechanism for efficient coding

Jochen Triesch, J. Triesch, 2013, Front. Psychol..

Emergence of task-dependent representations in working memory circuits

Jochen Triesch, Cristina Savin, J. Triesch, 2014, Front. Comput. Neurosci..

Self-calibrating active depth perception via motion parallax

Nak Young Chong, Jochen Triesch, Sungmoon Jeong, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network

Jochen Triesch, Andreea Lazar, Christoph Hartmann, 2015, BMC Neuroscience.

Integration of Vergence, Cyclovergence, and Saccades through Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2020, 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

The development of active binocular vision under normal and alternate rearing conditions

Jochen Triesch, Bertram E. Shi, Johann Schneider, 2020, bioRxiv.

Editorial: Linking experimental and computational connectomics

Alexander Peyser, Jochen Triesch, Abigail Morrison, 2019, Network Neuroscience.

A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings

Jochen Triesch, Diyuan Lu, Sebastian Bauer, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

A Model of Brain Folding Based on Strong Local and Weak Long-Range Connectivity Requirements.

Jochen Triesch, Hermann Cuntz, Moritz Groden, 2019, Cerebral cortex.

A Globally Asymptotically Stable Plasticity Rule for Firing Rate Homeostasis

Jochen Triesch, Prashant Joshi, 2008, ICANN.

An Event-by-Event Approach for Velocity Estimation and Object Tracking With an Active Event Camera

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2020, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

The IM-CLeVeR Project : Intrinsically Motivated Cumulative Learning Versatile Robots

Julian Togelius, Francesco Mannella, Jürgen Schmidhuber, 2009 .

Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computing

Jochen Triesch, Peter Birkholz, Bernd J. Kröger, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

A bio-inspired attention model of anticipation in gaze-contingency experiments with infants

Jochen Triesch, Daniele Caligiore, Gianluca Baldassarre, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures

Jochen Triesch, Daniel C. Miner, J. Triesch, 2014, Front. Neuroanat..

Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring

Jochen Triesch, Daniel Miner, J. Triesch, 2015, bioRxiv.

Learning more by sampling less: subsampling effects are model specific

Jochen Triesch, Viola Priesemann, Michael Wibral, 2013, BMC Neuroscience.

Spike avalanches in vivo suggest a driven, slightly subcritical brain state

Jochen Triesch, Danko Nikolić, Viola Priesemann, 2014, Front. Syst. Neurosci..

Saccade contingent updating in virtual reality

Jochen Triesch, Dana H. Ballard, Mary M. Hayhoe, 2002, ETRA.

Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems

Jochen Triesch, Constantin A. Rothkopf, Hazem Toutounji, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Active efficient coding explains the development of binocular vision and its failure in amblyopia

Jochen Triesch, Samuel Eckmann, Lukas Klimmasch, 2020, Proceedings of the National Academy of Sciences.

Robust active binocular vision through intrinsically motivated learning

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2013, Front. Neurorobot..

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

Jochen Triesch, J. Triesch, 2007, Neural Computation.

Coordination in Sensory Integration

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2010 .

Autonomous learning of active multi-scale binocular vision

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2017, Front. Neurorobot..

Real-time activity recognition via deep learning of motion features

Jochen Triesch, Roland Memisevic, Pramod Chandrashekhariah, 2015, ESANN.

Robotic Gesture Recognition by Cue Combination

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1998, GI Jahrestagung.

The dynamic connectome

Jochen Triesch, Simon Rumpel, 2016, e-Neuroforum.

GripSee: A Robot for Visually-Guided Grasping

Jochen Triesch, Christoph von der Malsburg, Eric Maël, 1998 .

Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System

Jochen Triesch, Bertram E. Shi, Lukas Klimmasch, 2017 .

Modularity and Specialized Learning: Reexamining Behavior-Based Artificial Intelligence

Jochen Triesch, Joanna J. Bryson, Tony Jebara, 2004 .

SORN: A Self-Organizing Recurrent Neural Network

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2009, Front. Comput. Neurosci..

Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fields

Jochen Triesch, Bertram E. Shi, Thusitha N. Chandrapala, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

A neural model for the adaptive control of saccadic eye movements

Cornelius Weber, Jochen Triesch, Sohrab Saeb, 2009, 2009 International Joint Conference on Neural Networks.

Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy pdf

Jochen Triesch, Diyuan Lu, J. Triesch, 2019, ArXiv.

Modeling the Transition from Bottom-up to Top-down Gaze Control Strategies in the Context of Gaze Following

Jochen Triesch, Hector Jasso, Gedeon O. Deák, 2008 .

OBJECT RECOGNITION WITH DEFORMABLE FEATURE GRAPHS: FACES, HANDS, AND CLUTTERED SCENES

Jochen Triesch, Christian Eckes, 2005 .

The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2006, ESANN.

Where’s the noise? Key features of neuronal variability and inference emerge from self-organized learning

Jochen Triesch, Andreea Lazar, Christoph Hartmann, 2014, bioRxiv.

Cortical Function, Normative Models of

Jochen Triesch, 2014, Encyclopedia of Computational Neuroscience.

A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability

Jochen Triesch, J. Triesch, 2005, ICANN.

Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network

Jochen Triesch, Viola Priesemann, Bruno Del Papa, 2017, PloS one.

Self-organization of complex cortex-like wiring in a spiking neural network model

Jochen Triesch, Daniel Miner, 2015, BMC Neuroscience.

Autonomous learning of robust visual object detection and identification on a humanoid

Jürgen Leitner, Jürgen Schmidhuber, Mikhail Frank, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Working memory for object features is influenced by scene context

Jochen Triesch, Mary Hayhoe, Jason A. Droll, 2004 .

Computational Modeling of Multisensory Object Perception

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2010 .

Task relevance of object features modulates the content of visual working memory

Jochen Triesch, Mary Hayhoe, Jason A. Droll, 2010 .

Rules for information maximization in spiking neurons using intrinsic plasticity

Jochen Triesch, Prashant Joshi, 2009, 2009 International Joint Conference on Neural Networks.

Faculty Opinions recommendation of Overcoming catastrophic forgetting in neural networks.

Jochen Triesch, 2019 .

Democratic Integration: Self-Organized Integration of Adaptive Cues

Jochen Triesch, Christoph von der Malsburg, 2001, Neural Computation.

Object Recognition with Multiple Feature Types

Jochen Triesch, Christian Eckes, 1998 .

Learning Optimal Gaze Decomposition

Jochen Triesch, Eric Wiewiora, David J. Berg, 2010 .

Implementations and Implications of Foveated Vision

Jochen Triesch, Cornelius Weber, C. Weber, 2009 .

Engineering Sciences (Aerospace Engineering)

Robert R. Bitmead, Jochen Triesch, Emanuel Todorov, 2006 .

2007 Special Issue: Fading memory and time series prediction in recurrent networks with different forms of plasticity

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2007 .

On the utility of sparse neural representations in adaptive behaving agents

Jochen Triesch, Bertram E. Shi, Thusitha N. Chandrapala, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Goal-directed learning of features and forward models

Cornelius Weber, Jochen Triesch, Sohrab Saeb, 2009, Neural Networks.

Classification of hand postures against complex backgrounds using elastic graph matching

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 2002, Image Vis. Comput..

OpenEyeSim: A biomechanical model for simulation of closed-loop visual perception.

Jochen Triesch, Alexander Priamikov, Bertram Shi, 2016, Journal of vision.

An active efficient coding model of the optokinetic nystagmus

Jochen Triesch, Bertram E. Shi, Chong Zhang, 2016, Journal of vision.

Emerging Bayesian Priors in a Self-Organizing Recurrent Network

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2011, ICANN.

Learning efficient codes for natural images by combining intrinsic and synaptic plasticity

Jochen Triesch, 2010 .

Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning

Jochen Triesch, Pengsheng Zheng, Jürgen Eser, 2014, PloS one.

From Infant Brains to Robots: A Report From the IEEE International Conference on Development and Learning (ICDL)-International Conference on Epigenetic Robotics (EpiRob) 2011 Conference

Angelo Cangelosi, Jochen Triesch, A. Cangelosi, 2011, IEEE Transactions on Autonomous Mental Development.

A Curious Vision System for Autonomous and Cumulative Object Learning

Jochen Triesch, Pramod Chandrashekhariah, Gabriele Spina, 2013, VISIGRAPP.

GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation

Jochen Triesch, Rolf P. Würtz, Christoph von der Malsburg, 1999, Auton. Robots.

A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity

Quan Wang, Jochen Triesch, Constantin A. Rothkopf, 2017, PLoS Comput. Biol..

From Exploration to Planning

Cornelius Weber, Jochen Triesch, C. Weber, 2008, ICANN.

Fading Memory, Plasticity, and Criticality in Recurrent Networks

Jochen Triesch, Viola Priesemann, Bruno Del Papa, 2019 .

Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders

Jochen Triesch, Bertram E. Shi, Charles Wilmot, 2020, 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex

Christos Dimitrakakis, Jochen Triesch, Pengsheng Zheng, 2013, PLoS Comput. Biol..

A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

Cornelius Weber, Jochen Triesch, C. Weber, 2008, Neural Computation.

Independent Component Analysis in Spiking Neurons

Jochen Triesch, Prashant Joshi, Cristina Savin, 2010, PLoS Comput. Biol..

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation pdf

Jochen Triesch, Diyuan Lu, Nenad Polomac, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning multisensory cue integration on mobile robots

Jochen Triesch, Bertram E. Shi, Chong Zhang, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Shape your liquid with plasticity

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2007 .

Intrinsically motivated learning of visual motion perception and smooth pursuit

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

A gesture interface for human-robot-interaction

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

Author response: Competition for synaptic building blocks shapes synaptic plasticity

Jochen Triesch, Anne-Sophie Hafner, Anh Duong Vo, 2018 .

An open-ended learning architecture to face the REAL 2020 simulated robot competition pdf

Jochen Triesch, Gianluca Baldassarre, Emilio Cartoni, 2020, ArXiv.

Predictive Coding in Cortical Microcircuits

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2008, ICANN.

From Animals to Animats 15

John Hallam, Jochen Triesch, Xiaofeng Xiong, 2018, Lecture Notes in Computer Science.

To each his own: The caregiver's role in a computational model of gaze following

Christof Teuscher, Jochen Triesch, C. Teuscher, 2007, Neurocomputing.

EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations

Jochen Triesch, Felix Rosenow, Helmut Laufs, 2021, NeuroImage.

Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Chong Zhang, 2019, Front. Neurorobot..

The role of contrast sensitivity in the development of binocular vision: A computational study

Jochen Triesch, Bertram E. Shi, Alexander Priamikov, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Goal-directed feature learning

Cornelius Weber, Jochen Triesch, C. Weber, 2009, 2009 International Joint Conference on Neural Networks.

Binding - A Proposed Experiment and a Model

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1996, ICANN.

A unified probabilistic framework for object segmentation and recognition

Jochen Triesch, Hai Chen, Erik Murphy-Chutorian, 2005 .

A Virtual Reality Platform for Modeling Cognitive Development

Jochen Triesch, Hector Jasso, J. Triesch, 2005, Biomimetic Neural Learning for Intelligent Robots.

Active efficient coding explains the development of binocular vision and its failure in amblyopia

Jochen Triesch, Bertram E. Shi, Samuel Eckmann, 2019, Proceedings of the National Academy of Sciences.

Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor

Jochen Triesch, Céline Teulière, Thomas Barbier, 2020, International Conference on Artificial Neural Networks.

Autonomous, self-calibrating binocular vision based on learned attention and active efficient coding

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

Jochen Triesch, Nicholas Butko, J. Triesch, 2022 .

Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images

Jochen Triesch, Christoph von der Malsburg, Christian Eckes, 2006, Neural Computation.

Bridging structure and function: A model of sequence learning and prediction in primary visual cortex

Jochen Triesch, Christian Klos, Daniel Miner, 2018, PLoS Comput. Biol..

A robust biologically plausible implementation of ICA-like learning

Jochen Triesch, Felipe Gerhard, Cristina Savin, 2009, ESANN.

Shared Features for Scalable Appearance-Based Object Recognition

Jochen Triesch, Erik Murphy-Chutorian, J. Triesch, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Understanding robustness in Random Boolean Networks

Janet Wiles, Jochen Triesch, Kai Willadsen, 2008, ALIFE.

Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders pdf

Jochen Triesch, Thomas Burwick, Markus Roland Ernst, 2019, ICANN.

A Unified Account of Gaze Following

Jochen Triesch, Joshua M. Lewis, Hector Jasso, 2012, IEEE Transactions on Autonomous Mental Development.

Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Zhetuo Zhao, 2018, SAB.

A unified model of the joint development of disparity selectivity and vergence control

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Emergence of Mirror Neurons in a Model of Gaze Following

Jochen Triesch, Hector Jasso, Gedeon O. Deák, 2007, Adapt. Behav..

Design of an anthropomorphic robot head for studying autonomous development and learning

Jochen Triesch, George York, Erik Murphy-Chutorian, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Vision based robotic gesture recognition

Jochen Triesch, J. Triesch, 1999 .

Autonomous learning of smooth pursuit and vergence through active efficient coding

Jochen Triesch, Bertram E. Shi, Tadmeri Narayan Vikram, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks

Jochen Triesch, Marius N. Vieth, Marius Vieth, 2021, Frontiers in Neuroinformatics.

A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia

Jochen Triesch, Norman Seeliger, 2021, ICANN.

Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data pdf

Gerhard Kurz, Jochen Triesch, Elke Hattingen, 2021, ArXiv.

Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural network*

Jochen Triesch, Céline Teulière, Thomas Barbier, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Mathematical Model of Neuroimmune Interactions in Epileptogenesis: A New Tool for Discovering Treatment Strategies In Silico

Jochen Triesch, Fereshteh Lagzi, Peter Jedlicka, 2021, SSRN Electronic Journal.

Learning Abstract Representations through Lossy Compression of Multi-Modal Signals pdf

Jochen Triesch, Charles Wilmot, 2021, IEEE Transactions on Cognitive and Developmental Systems.

A Model of TMS-induced I-waves in Motor Cortex

Jochen Triesch, Cătălin V. Rusu, Max Murakami, 2014, Brain Stimulation.

Correction: Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring

Jochen Triesch, Daniel Miner, 2016, PLoS computational biology.

Democratic Integration: A Theory of Adaptive Sensory Integration

Jochen Triesch, J. Triesch, 2000 .

Adaptive Object Tracking with an Anthropomorphic Robot Head

Jochen Triesch, Hyundo Kim, 2004 .

Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm

Jochen Triesch, Constantin A. Rothkopf, Jantina Bolhuis, 2012, PloS one.

Learning gaze following in space: a computational model

Jochen Triesch, Boris Lau, J. Triesch, 2004 .

Chapter 11 – Structural Plasticity and the Generation of Bidirectional Connectivity

Jochen Triesch, Florence I. Kleberg, Daniel Miner, 2017 .

Differential effects of visual attention and working memory on binocular rivalry.

Jochen Triesch, Matteo Valsecchi, Karl R Gegenfurtner, 2014, Journal of vision.

Top-down influences on ambiguous perception: the role of stable and transient states of the observer

Jochen Triesch, Matteo Valsecchi, Lisa Scocchia, 2014, Front. Hum. Neurosci..

Transient visual representations: a change blindness approach

Jochen Triesch, Dana H. Ballard, Mary Hayhoe, 2010 .

EEG-triggered TMS reveals stronger brain state-dependent modulation of motor evoked potentials at weaker stimulation intensities

Jochen Triesch, Christoph Zrenner, Ulf Ziemann, 2018, Brain Stimulation.

What’s “up”? Working memory contents can bias orientation processing

Jochen Triesch, Lisa Scocchia, Guido Marco Cicchini, 2013, Vision Research.

Learning independent causes in natural images explains the spacevariant oblique effect

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Intrinsic Motivations Drive Learning of Eye Movements: An Experiment with Human Adults

Jochen Triesch, Peter Redgrave, Maria De Marsico, 2015, PloS one.

Watch the Hands: Infants Learn Gaze-Following From Parents' Pointing and Manual Action

Jochen Triesch, Hector Jasso, Gedeon O. Deák, 2006 .

The Rôle of a priori Biases in Unsupervised Learning of Visual Representations : A Robotics Experiment

Jochen Triesch, J. Triesch, 2001 .

Building a Model of Infant Social Interaction

Jochen Triesch, Joshua M. Lewis, Hector Jasso, 2010 .

What Leads To Shared Attention? Maternal Cues and Infant Responses During Object Play

Jochen Triesch, Hector Jasso, Gedeon O. Deák, 2018 .

Chapter 16 : Origins of shared attention in human infants

Jochen Triesch, Gedeon O. Deák, J. Triesch, 2005 .

Epileptogenesis due to glia-mediated synaptic scaling

Jochen Triesch, Michael Meyer-Hermann, Cristina Savin, 2009, Journal of The Royal Society Interface.

Network Self-organization explains the distribution of synaptic efficacies in neocortex

Christos Dimitrakakis, Jochen Triesch, Pengsheng Zhang, 2011 .

Ongoing brain rhythms shape I-wave properties in a computational model

Jochen Triesch, Natalie Schaworonkow, J. Triesch, 2017, Brain Stimulation.

A possible representation of reward in the learning of saccades

Cornelius Weber, Jochen Triesch, C. Weber, 2006 .